Research
How can artificial intelligence help us understand living systems?
At our lab, we develop machine learning approaches that integrate imaging and omics data to uncover the principles governing cellular behavior. Our research spans image-based profiling, multimodal learning, computational biology, and biomedical AI, with applications ranging from fundamental biology to disease diagnosis and therapeutic discovery.
All
2026
Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment
Medical Imaging with Deep Learning (MIDL 2026) Validation Papers.
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14 Apr 2026
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url:https://openreview.net/forum?id=IiwDSw6EeN
A multicenter study investigating quantitative morphometric analysis of stratum corneum nanotexture as a biomarker for skin barrier function. The work evaluates the reproducibility and clinical utility of image-based measurements across multiple centers and cohorts.
Progress and new challenges in image-based profiling
Molecular Systems Biology
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27 Mar 2026
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doi:10.1038/s44320-026-00197-7
2024
Sustained immune activation and impaired epithelial barrier integrity in the ectocervix of women with chronic HIV infection
PLOS Pathogens
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19 Nov 2024
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doi:10.1371/journal.ppat.1012709
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
Journal of Water Process Engineering
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01 Jul 2024
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doi:10.1016/j.jwpe.2024.105692